Identification of Gamma-Ray Burst Optical Counterparts for the Gravitational-wave Optical Transient Observer with Machine Learning

Real-bogus classification problem is one of the most challenging problems in time-domain astronomy. With an effective classifier, it helps to reduce our manual vetting time to identify transients quickly. My work demonstrates two different approaches to solve for real-bogus classification. Gravitational-wave Optical Transient Observer (GOTO) has followed up 92 Fermi GRB from 22 February 2019 to 7 June 2020. My work demonstrates a comprehensive archival search on the potential GRB afterglow detections. This study can help further improving our future follow-up strategies on Fermi GRB events.